fold
neural_prophet
| fold | neural_prophet | |
|---|---|---|
| 2 | 5 | |
| 87 | 3,653 | |
| - | - | |
| 8.9 | 8.6 | |
| 2 months ago | 3 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fold
- Show HN: Fast Adaptive ML for Time-Series Forecasting
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We ended up building a Time-Series Cross-Validation library from scratch
This is the launch of our core engine so we would love to get some feedback on Fold (https://github.com/dream-faster/fold)! We’ll be here and happy to answer any questions.
neural_prophet
- Facebook Prophet: library for generating forecasts from any time series data
- Time series analysis of Bitcoin price in Python with fbprophet ?!
- 14 September 2021 - Daily Chat Thread
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[D] Stock prediction using lstm(plz help)
NeuralProphet
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Financial time-series data forecasting - any other tools besides Prophet?
Neural Prophet: https://github.com/ourownstory/neural_prophet
What are some alternatives?
PyPOTS - A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science analysis tasks of imputation, classification, clustering, forecasting & anomaly detection on incomplete (irregularly-sampled) multivariate TS with NaN missing values
darts - A python library for user-friendly forecasting and anomaly detection on time series.
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
gluonts - Probabilistic time series modeling in Python
orbit - A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
sysidentpy - A Python Package For System Identification Using NARMAX Models
Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.
tslearn - The machine learning toolkit for time series analysis in Python